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Title: iTOUGH2 v7.1

Abstract

iTOUGH2 (inverse TOUGH2) provides inverse modeling capabilities for TOUGH2, a simulator for multi-dimensional, multi-phase, multi-component, non-isothermal flow and transport in fractured porous media. iTOUGH2 performs sensitivity analyses, data-worth analyses, parameter estimation, and uncertainty propagation analyses in geosciences and reservoir engineering and other application areas. iTOUGH2 supports a number of different combinations of fluids and components (equation-of-state (EOS) modules). In addition, the optimization routines implemented in iTOUGH2 can also be used for sensitivity analysis, automatic model calibration, and uncertainty quantification of any external code that uses text-based input and output files using the PEST protocol. iTOUGH2 solves the inverse problem by minimizing a non-linear objective function of the weighted differences between model output and the corresponding observations. Multiple minimization algorithms (derivative-free, gradient-based, and second-order; local and global) are available. iTOUGH2 also performs Latin Hypercube Monte Carlo simulations for uncertainty propagation analyses. A detailed residual and error analysis is provided. This upgrade includes (a) global sensitivity analysis methods, (b) dynamic memory allocation (c) additional input features and output analyses, (d) increased forward simulation capabilities, (e) parallel execution on multicore PCs and Linux clusters, and (f) bug fixes. More details can be found at http://esd.lbl.gov/iTOUGH2.

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
Contributing Org.:
LAWRENCE BERKELEY NATIONAL LABORATORY
OSTI Identifier:
1324959
Report Number(s):
iTOUGH2 V7.1; 004925MLTPL00
R&D Project: 830404000; 2016-182
DOE Contract Number:
AC02-05CH11231
Resource Type:
Software
Software Revision:
00
Software Package Number:
004925
Software CPU:
MLTPL
Source Code Available:
Yes
Other Software Info:
LBNL CHOOSES TO CONTROL ALL DISTRIBUTION OF THIS SOFTWARE
Country of Publication:
United States

Citation Formats

FINSTERLE, STEFAN, JUNG, YOOJIN, KOWALSKY, MICHAEL, MAGNUSDOTTIR, LILJA, PAU, GEORGE, WAINWRIGHT, HARUKO, and ZHANG, YINGQI. iTOUGH2 v7.1. Computer software. Vers. 00. USDOE. 15 Sep. 2016. Web.
FINSTERLE, STEFAN, JUNG, YOOJIN, KOWALSKY, MICHAEL, MAGNUSDOTTIR, LILJA, PAU, GEORGE, WAINWRIGHT, HARUKO, & ZHANG, YINGQI. (2016, September 15). iTOUGH2 v7.1 (Version 00) [Computer software].
FINSTERLE, STEFAN, JUNG, YOOJIN, KOWALSKY, MICHAEL, MAGNUSDOTTIR, LILJA, PAU, GEORGE, WAINWRIGHT, HARUKO, and ZHANG, YINGQI. iTOUGH2 v7.1. Computer software. Version 00. September 15, 2016.
@misc{osti_1324959,
title = {iTOUGH2 v7.1, Version 00},
author = {FINSTERLE, STEFAN and JUNG, YOOJIN and KOWALSKY, MICHAEL and MAGNUSDOTTIR, LILJA and PAU, GEORGE and WAINWRIGHT, HARUKO and ZHANG, YINGQI},
abstractNote = {iTOUGH2 (inverse TOUGH2) provides inverse modeling capabilities for TOUGH2, a simulator for multi-dimensional, multi-phase, multi-component, non-isothermal flow and transport in fractured porous media. iTOUGH2 performs sensitivity analyses, data-worth analyses, parameter estimation, and uncertainty propagation analyses in geosciences and reservoir engineering and other application areas. iTOUGH2 supports a number of different combinations of fluids and components (equation-of-state (EOS) modules). In addition, the optimization routines implemented in iTOUGH2 can also be used for sensitivity analysis, automatic model calibration, and uncertainty quantification of any external code that uses text-based input and output files using the PEST protocol. iTOUGH2 solves the inverse problem by minimizing a non-linear objective function of the weighted differences between model output and the corresponding observations. Multiple minimization algorithms (derivative-free, gradient-based, and second-order; local and global) are available. iTOUGH2 also performs Latin Hypercube Monte Carlo simulations for uncertainty propagation analyses. A detailed residual and error analysis is provided. This upgrade includes (a) global sensitivity analysis methods, (b) dynamic memory allocation (c) additional input features and output analyses, (d) increased forward simulation capabilities, (e) parallel execution on multicore PCs and Linux clusters, and (f) bug fixes. More details can be found at http://esd.lbl.gov/iTOUGH2.},
doi = {},
year = {Thu Sep 15 00:00:00 EDT 2016},
month = {Thu Sep 15 00:00:00 EDT 2016},
note =
}

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